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Stanford’s DeLM cuts multi-agent task costs 50% — without a central orchestrator

One of the assumptions behind today’s AI frameworks is that agents require a “boss” at the center; this orchestrator runs the show, routes requests, and makes sure the whole system doesn’t descend into chaos. That assumption may be wrong, and the cost of carrying it could be measured in inference dollars and coordination latency. A […]

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Sakana AI Commercializes AB-MCTS in Sakana Marlin, an Enterprise Agent Generating Up to 100-Page Research Reports With Slides

Tokyo-based Sakana AI shipped its first commercial product ‘Sakana Marlin’ this week. Sakana team positions it as a Virtual CSO (Chief Strategy Officer). It is a B2B autonomous research agent built for enterprises. Marlin does not answer in seconds like a chatbot. You give it one research topic. It then runs autonomously for up to

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Satya Nadella warns that AI could hollow out entire industries, echoing the damage done by globalization

Microsoft CEO Satya Nadella published a sweeping essay on Sunday laying out what he describes as the defining economic challenge of the AI era: the risk that a handful of frontier models will absorb the expertise of entire industries and commoditize it, leaving businesses stripped of their competitive moats. “The last thing any of us

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When deep research isn’t enough for your business: Sakana AI launches ‘ultra deep research’ agent for 100+ page reports in 8 hours

Tokyo-based AI startup Sakana AI has officially launched its first commercial product, Sakana Marlin. Billed as a “Virtual CSO” (Chief Strategy Officer), Marlin is an autonomous, B2B research agent that deliberately abandons the instantaneous text generation of modern chatbots in favor of deep, long-horizon reasoning. What sets Marlin apart from the current ecosystem of AI

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85% of IT teams claim every AI agent is under control. Only 42% actually know who owns them.

Organizational leaders are nearly twice as likely to hide their AI use compared to all other employees, at 42% versus 23%, according to new Ivanti research surveying 3,900 employees across six countries. Among leaders who conceal that usage, 52% say they do it for a “secret advantage.” The same research found 85% of IT professionals

85% of IT teams claim every AI agent is under control. Only 42% actually know who owns them. Read More »

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Vibe coding can build your pipeline. It can’t explain it six months later

AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, enterprise data platforms have long operated across fragmented systems owned by different teams and built on different technologies. As these systems evolve independently, organizations increasingly struggle with inconsistent business logic, duplicated implementations, difficult

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Claude Code Guide 2026: 25 Features with Examples + Demo

Claude Code started as a terminal coding assistant. It now runs as a layered agentic system. Underneath, Claude Code separates memory, hooks, skills, subagents, plugins, and MCP into distinct layers. Each layer changes what the model can see or do. This article covers 25 features and strategies for scaling Claude Code. It is written for

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A Coding Hands-On on FineWeb for Streaming, Filtering, Deduplication, Tokenization, and Large-Scale Web Corpus Analytics

In this tutorial, we explore the FineWeb dataset through an advanced hands-on workflow. We stream a manageable sample of the dataset without downloading the full multi-terabyte corpus, inspect its schema and metadata, and analyze key fields such as URL, language, language score, and token count. We also reproduce simplified versions of FineWeb’s quality-filtering pipeline, apply

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Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi

Databricks released Omnigent, an open source ‘meta-harness’ for AI agents. The project ships under the Apache 2.0 license. The Databricks AI team built it with Neon. A harness is the wrapper around a model that turns it into an agent. Claude Code, Codex, and Pi are harnesses. Omnigent sits one level above them. It treats

Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi Read More »

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MCP solved tool calling. A2A solved coordination. What solves transport?

The history of distributed computing is one of protocol proliferation followed by consolidation. Common Object Request Broker Architecture (CORBA), Distributed Component Object Model (DCOM), Java remote method invocation (RMI), and early simple object access protocol (SOAP) competed for the enterprise integration market in the late 1990s before representational state transfer (REST) quietly won by being

MCP solved tool calling. A2A solved coordination. What solves transport? Read More »